Secure Transmission of Delay-Sensitive Data over Wireless Fading Channels

Mustafa Ozmen, Mc Cenk Gursoy

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


In this paper, throughput and energy efficiency of secure wireless transmission of delay sensitive data generated by random sources is studied. A fading broadcast model in which the transmitter sends confidential and common messages to two receivers is considered. It is assumed that the common and confidential data, generated from Markovian sources, are stored in buffers prior to transmission, and the transmitter operates under constraints on buffer/delay violation probability. Under such statistical quality-of-service constraints, effective capacity of time-varying wireless transmissions and effective bandwidth of Markovian sources are employed to determine the throughput. In particular, secrecy capacity is used to describe the service rate of buffers containing confidential messages. Moreover, energy per bit is used as the energy efficiency metric and energy efficiency is studied in the low signal-To-noise regime. Specifically, minimum energy per bit required for the reliable communication of common and confidential messages is determined and wideband slope expressions are identified. The impact of buffer/delay constraints, correlation between channels, source characteristics/burstiness, channel knowledge at the transmitter, power allocation, and secrecy requirements on the throughput and energy efficiency of common and confidential message transmissions is identified.

Original languageEnglish (US)
Article number7895214
Pages (from-to)2036-2051
Number of pages16
JournalIEEE Transactions on Information Forensics and Security
Issue number9
StatePublished - Sep 2017


  • Common and confidential messages
  • Markovian arrivals
  • effective bandwidth
  • effective capacity
  • energy efficiency
  • fading broadcast channel
  • secrecy capacity
  • statistical buffer/delay QoS constraints
  • throughput

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications


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